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Senior Data Engineer - SymphonyAI
Data Engineer
Lead Senior Data Engineer driving enterprise‑scale data pipelines, leveraging Python, Spark, and AWS to deliver actionable insights and support AI initiatives.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Python, Spark, and AWS services (Glue, Redshift, S3).
- Collaborate with data scientists and product teams to translate business requirements into robust data models and analytics solutions.
- Implement best practices for data quality, governance, and security across the data ecosystem.
- Optimize performance of batch and streaming workloads, ensuring high availability and low latency.
- Mentor junior engineers and champion continuous improvement of data engineering processes.
Requirements
- 7–8 years of professional experience in data engineering or related field.
- Proficiency in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience with AWS data services (Glue, Redshift, S3, EMR).
- Strong understanding of data modeling, ETL design, and data governance principles.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonsqlapache sparkaws